You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds We partner closely with top-notch engineers, product managers, sales ...
You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds We partner closely with top-notch engineers, product managers, sales ...
You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds We partner closely with top-notch engineers, product managers, sales ...
You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds We partner closely with top-notch engineers, product managers, sales ...
Quantitative Researcher, Central Execution Desk
New York, NY · On-site
$120K - $200K/yr
We empower portfolio managers to build their teams and strategies independently while providing the ... Working on causal inference methods * Developing optimization models for various execution ...
Quantitative Researcher, Central Execution Desk
New York, NY · On-site
$120K - $200K/yr
We empower portfolio managers to build their teams and strategies independently while providing the ... Working on causal inference methods * Developing optimization models for various execution ...
You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds We partner closely with top-notch engineers, product managers, sales ...
You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds We partner closely with top-notch engineers, product managers, sales ...
Director, Marketing Data Science
New York, NY · On-site +1
Deep expertise in the core methods: media mix modeling, multi-touch attribution, incrementality and lift testing, and causal inference at scale. * Experience managing or technically leading a small ...
Director, Marketing Data Science
New York, NY · On-site +1
Deep expertise in the core methods: media mix modeling, multi-touch attribution, incrementality and lift testing, and causal inference at scale. * Experience managing or technically leading a small ...
You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds We partner closely with top-notch engineers, product managers, sales ...
You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds We partner closely with top-notch engineers, product managers, sales ...
You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds We partner closely with top-notch engineers, product managers, sales ...
You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds We partner closely with top-notch engineers, product managers, sales ...
Senior Manager, Applied Science, Prime Video Advertising
New York, NY · On-site
$164K/yr
... and causal inference methods to measure the impact of advertising decisions on both business ... managers, and drive large-scale ML/AI initiatives that inform strategic decisions for one of the ...
Senior Manager, Applied Science, Prime Video Advertising
New York, NY · On-site
$164K/yr
... and causal inference methods to measure the impact of advertising decisions on both business ... managers, and drive large-scale ML/AI initiatives that inform strategic decisions for one of the ...
You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds We partner closely with top-notch engineers, product managers, sales ...
You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds We partner closely with top-notch engineers, product managers, sales ...
You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds We partner closely with top-notch engineers, product managers, sales ...
You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds We partner closely with top-notch engineers, product managers, sales ...
You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds We partner closely with top-notch engineers, product managers, sales ...
You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds We partner closely with top-notch engineers, product managers, sales ...
The ideal candidate has deep command of causal inference in media (RCTs, geo and matched-market ... Manage the day-to-day relationship with our experimentation vendor: prioritize the study backlog ...
Quick apply
The ideal candidate has deep command of causal inference in media (RCTs, geo and matched-market ... Manage the day-to-day relationship with our experimentation vendor: prioritize the study backlog ...
The ideal candidate has deep command of causal inference in media (RCTs, geo and matched-market ... Manage the day-to-day relationship with our experimentation vendor: prioritize the study backlog ...
The ideal candidate has deep command of causal inference in media (RCTs, geo and matched-market ... Manage the day-to-day relationship with our experimentation vendor: prioritize the study backlog ...
The ideal candidate has deep command of causal inference in media (RCTs, geo and matched-market ... Manage the day-to-day relationship with our experimentation vendor: prioritize the study backlog ...
The ideal candidate has deep command of causal inference in media (RCTs, geo and matched-market ... Manage the day-to-day relationship with our experimentation vendor: prioritize the study backlog ...
Senior Manager, Applied Science, Prime Video Advertising
New York, NY · On-site
$164K/yr
... and causal inference methods to measure the impact of advertising decisions on both business ... managers, and drive large-scale ML/AI initiatives that inform strategic decisions for one of the ...
Senior Manager, Applied Science, Prime Video Advertising
New York, NY · On-site
$164K/yr
... and causal inference methods to measure the impact of advertising decisions on both business ... managers, and drive large-scale ML/AI initiatives that inform strategic decisions for one of the ...
... to manage transportation at scale through APIs, integrations (e.g., Concur, Expensify), and ... Lead complex Machine Learning, AI, and causal inference initiatives across Lyft Business products ...
... to manage transportation at scale through APIs, integrations (e.g., Concur, Expensify), and ... Lead complex Machine Learning, AI, and causal inference initiatives across Lyft Business products ...
... ML, Causal Inference, Natural Language Processing, and Computer Vision. As an Applied Science ... Key job responsibilities You independently manage a team of scientists. You identify the needs of ...
... ML, Causal Inference, Natural Language Processing, and Computer Vision. As an Applied Science ... Key job responsibilities You independently manage a team of scientists. You identify the needs of ...
... to manage transportation at scale through APIs, integrations (e.g., Concur, Expensify), and ... Lead complex Machine Learning, AI, and causal inference initiatives across Lyft Business products ...
... to manage transportation at scale through APIs, integrations (e.g., Concur, Expensify), and ... Lead complex Machine Learning, AI, and causal inference initiatives across Lyft Business products ...
Applied Science Manager, Ads Measurement Science
New York, NY · On-site
$42K - $56K/yr
... ML, Causal Inference, Natural Language Processing, and Computer Vision. As an Applied Science ... Key job responsibilities You independently manage a team of scientists. You identify the needs of ...
Applied Science Manager, Ads Measurement Science
New York, NY · On-site
$42K - $56K/yr
... ML, Causal Inference, Natural Language Processing, and Computer Vision. As an Applied Science ... Key job responsibilities You independently manage a team of scientists. You identify the needs of ...
Senior/Staff Data Scientist, Analytics
New York, NY · On-site +1
You'll own experimentation and causal inference frameworks, produce rigorous methodological work ... manage AI brand safety and engage consumers with thoughtful and personalized AI marketing ...
Senior/Staff Data Scientist, Analytics
New York, NY · On-site +1
You'll own experimentation and causal inference frameworks, produce rigorous methodological work ... manage AI brand safety and engage consumers with thoughtful and personalized AI marketing ...
Manager Causal Inference information
How does a manager causal inference typically collaborate with cross-functional teams to drive impactful business insights?
Managers of Causal Inference frequently work alongside data scientists, product managers, engineers, and business leaders to design and execute experiments that reveal the true impact of business decisions. They translate complex statistical findings into actionable recommendations, ensuring stakeholders understand both the methodology and implications. Regularly, they lead discussions on experiment design, data collection strategies, and result interpretation, fostering a culture of evidence-based decision-making across the organization.
What does a manager causal inference do?
A Manager Causal Inference leads teams that analyze data to determine cause-and-effect relationships, often in business, healthcare, or technology settings. They design experiments or use statistical methods to understand how different factors influence outcomes, helping organizations make data-driven decisions. This role typically involves managing projects, overseeing analysts or data scientists, and communicating findings to stakeholders. Strong expertise in statistics, data analysis, and leadership is essential for success in this position.
What are the key skills and qualifications needed to thrive as a manager causal inference?
To thrive as a Manager of Causal Inference, you need a deep understanding of statistics, econometrics, and experimental design, typically supported by an advanced degree in a quantitative field. Proficiency with data analysis tools such as R, Python, SQL, and specialized causal inference libraries, along with experience using data visualization and project management platforms, is crucial. Strong leadership, communication, and critical thinking skills help you effectively guide teams and translate complex findings to stakeholders. These skills ensure rigorous, actionable insights that drive strategic decision-making and organizational impact.
What are the most commonly searched types of Causal Inference jobs in New York? The most popular types of Causal Inference jobs in New York are:
What are popular job titles related to Manager Causal Inference jobs in New York? For Manager Causal Inference jobs in New York, the most frequently searched job titles are:
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What cities in New York are hiring for Manager Causal Inference jobs? Cities in New York with the most Manager Causal Inference job openings:
Amazon rating
7.4
Based on 7,066 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
Job description
The Ads Measurement Science team in the Measurement, Ad Tech, and Data Science (MADS) team of Amazon Ads serves a centralized role developing solutions for a multitude of performance measurement products. We create solutions which measure the comprehensive impact of advertiser's ad spend, including sales impacts both online and offline and across timescales, and provide actionable insights that enable our advertisers to optimize their media portfolios. We also own the science solutions for AI tools that unlock new insights and automate high-effort customer workflows, such as custom query and report generation based on natural language user requests.
We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision.
As a Senior Applied Scientist on the team, you will be at the forefront of innovation, developing measurement solutions end-to-end from inception to production. You will set the technical vision and innovate on behalf of our customers. You will propose, design, analyze, and productionize models to provide novel measurement insights to our customers
You will partner with engineering to deploy these solutions into production. You will work with key stakeholders from various business teams to enable advertisers to act upon those metrics.
Key job responsibilities
* Lead the development of ad measurement models and solutions that address the full spectrum of an advertiser's investment, focusing on scalable and efficient methodologies.
* Collaborate closely with cross-functional teams including engineering, product management, and business teams to define and implement measurement solutions.
* Use state-of-the-art scientific technologies including Generative AI, Classical Machine Learning, Causal Inference, Natural Language Processing, and Computer Vision to develop state of the art models that measure the impact of ad spend across multiple platforms and timescales.
* Drive experimentation and the continuous improvement of ML models through iterative development, testing, and optimization.
* Translate complex scientific challenges into clear and impactful solutions for business stakeholders.
* Mentor and guide junior scientists, fostering a collaborative and high-performing team culture.
* Foster collaborations between scientists to move faster, with broader impact.
* Regularly engage with the broader scientific community with presentations, publications, and patents.
A day in the life
You will solve real-world problems by getting and analyzing large amounts of data, generate business insights and opportunities, design simulations and experiments, and develop statistical and ML models
The team is driven by business needs, which requires collaboration with other Scientists, Engineers, and Product Managers across the advertising organization. You will prepare written and verbal presentations to share insights to audiences of varying levels of technical sophistication.
Team video https://advertising.amazon.com/help/G4LNN5YWHP6SM9TJ
About the team
We are a team of scientists across Applied, Research, Data Science and Economist disciplines. You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds
We partner closely with top-notch engineers, product managers, sales leaders, and other scientists with expertise in the ads industry and on building scalable modeling and software solutions.
About Amazon
Sourced by ZipRecruiter
Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.
Industry
It services, book publishers, retail, real estate and computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Seattle, WA, US